Optimal data offloading via an ADMM algorithm in mobile ad hoc cloud with malicious resource providers

• Published in: Computer communications 2020-05, Vol.158, p.10-16
• Main Authors: Wang, Zongyao, Feng, Xue, Zhu, Hongbo, Liu, Changping
• Format: Article
• Language: English
• Subjects: ADMM; Convex optimization; Malicious provider; Mobile ad hoc cloud; Offloading
• ISSN: 0140-3664; 1873-703X
• DOI: 10.1016/j.comcom.2020.04.040

Offloading has been widely adopted as an effective technique to overcome the processing and computation limitation in mobile networks. In this paper, a utility maximization model of mobile ad hoc environment with some malicious resource providers (RPs) is built. The price incentive mechanism obtained by solving the model can effectively promote RPs to share their idle resources to resource buyer (RB). To identify the malicious RPs, the mechanism of identification and processing the inaccurate data is designed and completed by RB. Combined with this mechanism, we propose a distributed optimization algorithm based on modified alternating direction method of multipliers (ADMM) algorithm to realize the maximum utility of the overall system. Finally, through comparative analysis, the simulation results verify the feasibility of the proposed distributed optimization algorithm and the necessity of identifying malicious RPs. •An utility maximization model of the MAC system is proposed.•A mechanism of identification and processing is constructed.•A distributed optimization algorithm is designed to solve the model.•Simulation studies are given to show performance of the proposed algorithm.